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FRTN15/FRTN15F Predictive Control

 

Syllabus   CEQ   Schedule

 

News

 

Frequently asked questions are collected here: FAQ

Personnel 2017

Lectures: 

  • Rolf.Johansson@control.lth.se (tel. 046-222 8791, office M:5147).

 

Problem solving sessions and labs:

  • Gabriel Ingesson (tel. 046-222 8793, Gabriel@control.lth.se,
     M:2209)
  • Pontus Giselsson (tel. 046-222 9744, PontusG@control.lth.se, M:2170B
  • Gustav Nilsson (Gustav.Nilsson@control.lth.se, tel. 046-222 1570,  M:2427) 

 

Recommended Prerequisites:

Automatic Control (FRT010), some background in discrete-time signals and systems.

 

Course Material


 

Lectures

Lectures will be held in M:E on Tuesdays 10.15–12.00 and Thursdays 13.15–15.00; Wednesdays Jan 18 and Jan 25 at 13.15–15.00 in the seminar room of Dept. Automatic Control (M:2112B ) according to the schedule:
Week Date No Contents Ref.
3 17/1 L1 Introduction. Signals & Systems. Real-time Parameter Estimation. Ch. 1, 2
  18/1 L2 Automatic Tuning, Gain Scheduling, Auto-calibration.  
  19/1 L3 ARMAX models. Pole assignment Model Matching. Optimal Control.  
 4 24/1 L4 Pole Assignment. Model matching. Disturbance Models.  
  25/1 L5 Optimal Prediction. Optimal Predictive Control. The Kalman Filter.  
  26/1 L6 Adaptive Control  
 5 31/1 L7 Adaptive Control.  
  2/2 L8 Model Predictive Control (MPC)  
6 7/2 L9 Iterative Learning Control (ILC). Iterative Feedback Tuning (IFT).  
  9/2 L10 More Model Predictive Control  
7 14/2 L11 Stability: Lyapunov Theory.  
  16/2 L12 Stability: Input-Output Stability. Passivity.  
 9 28/2 L13 Stochastic Adaptive Control -
  2/3 L14 Implementation. Applications. Summary. Hour for Questions.

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  Copies of the lecture slides are available here (the username is "control", you'll also need the fun password mentioned at the lecture).

 

Some Matlab Code etc

  • ex0.m (Stochastic system, Lecture 2)
  • ex1.m (Correlation and Covariance, Lecture 2)
  • design1.m (Polynomial design Lecture 4)
  • predictor.m (Optimal d-step aheap prediction, Lecture 4)
  • Lec5.zip (All matlab code used in Lecture 5, incl the useful rstd.m and dab.m)
  • Lec6.zip (All matlab code used in Lecture 6)
  • Lec7.zip (All matlab code used in Lecture 7)
  • Lec8.zip (All matlab code used in Lecture 8)
  • MPC TOOLS manual (used in Lecture 10)
  • MPC Tools (including the Quad tank and Helicopter examples in Lecture 10)
  • Lec11.zip (ILC code used in Lecture 11)

Exercises

LP3 Fridays 10.15-12.00 in M:X2b:
  • Gabriel Ingesson (tel. 046-222 8793, Gabriel@control.lth.se,  M:2209)

 

      Contents
3 20/1 E1 Simulation of Adaptive Systems.
Notice simulation session in Lab B!
4 29/1 E2 Real-Time Parameter Estimation.
5 3/2 E3 Optimal Prediction. Optimal estimation. Kalman filter.
6 10/2 E4 Adaptive Control.
7 17/2 E5 Model Predictive Control
8 24/2 E6 Iterative Learning Control (ILC)+additional
9 3/3 E7 Stability of Adaptive Schemes, Exam questions

 

Exercise Materials

    1. Exercise 1  Notice that this computer exercise is held in Lab C.
    2. Exercise 2 and solutions
    3. Exercise 3 and solutions
    4. Exercise 4 and solutions
    5. Exercise 5 and solutions
    6. Exercise 6 and solutions
    7. Exercise 7: Old Exams (see below) and Questions

Laboratory sessions

Lab Time Contents Responsible Phone Office
Lab 1 w.5 Autotuning and Gain Scheduling Gustav Nilsson 046 222 1570 M:2427
Lab 2 w.7 Adaptive Control Gabriel Ingesson  046 222 8793 M:2209
Lab 3 w.8 Predictive Control Gabriel Ingesson 046 222 8793 M:2209

Laboratory Materials


Exam

Tuesday, March 14, at 8-13 in M:L1, M:L2.


Old Exams


Home Work Assignments

Please send your solutions by the deadlines to the emails mentioned in the handins. Please use PDF-format when possible. Homework should be handed in individually. Reasonable cooperation is allowed (but not copying other persons handins...).



    • Home Work 3—Model Predictive Control (MPC). Deadline February 26, 2017. Responsible: Gabriel Ingesson



Projects

The projects will be done individually or in small groups of 2-4 students. A list of project proposal can be found in the project list. You should sign up for a project no later than Friday, February 26. The deadline for the project report is April 28 unless otherwise agreed with the project supervisors. The project should be presented Friday, April 28, at 10:15-12:00 in the Automatic Control Seminar Room (M:2112B). All project groups should give an oral presentation of 5-10 minutes. Presence mandatory for students of FRTN15. WELCOME!

Project Groups 2017